cvat — Vulnerabilities & Security Advisories 22

This page aggregates security vulnerabilities affecting CVAT, a cloud-based computer vision annotation tool. It collects data on software flaws such as cross-site scripting, path traversal, and insecure permissions within the platform. The dataset spans advisories published from 2020 through the present, capturing both critical and moderate severity issues identified by researchers and developers. Readers can utilize this resource to monitor the security posture of the CVAT project, understand common weakness patterns in open-source annotation tools, and review the historical context of specific bug types. This aggregation helps users assess risk when deploying the software in production environments or when integrating it into larger machine learning pipelines. By consolidating scattered security reports into a single view, the page provides a comprehensive overview of the product’s reliability and the responsiveness of its maintainers to reported issues. It serves as a technical reference for security professionals and developers who need to verify patching status or evaluate the overall stability of the codebase over time.